Abstract
In the era of Industry 4.0, advanced technologies are transforming production processes, although their
adoption introduces challenges related to integration, security and scalability in industrial environments.
This study investigates the preservation of industrial data continuity under stress conditions. A structured literature
review was conducted in Scopus and Web of Science, following the PRISMA methodology, to identify the resilience
requirements. This was followed by the design and implementation of a hybrid edge-to-cloud (E2C) microservices
architecture. The approach was validated through controlled overload and saturation experiments in a hybrid cloud¿
edge environment, utilising orchestration, monitoring, and alert-management tools such as Kubernetes, Rancher,
Prometheus, Grafana, and Node-RED. The proposed architecture combines edge node execution with centralised
cloud coordination (E2C) to address these challenges. A central motivation for this design is the recognition
that industrial data represents a strategic asset. Interruptions or losses in data flows directly affect process
traceability and degrade the performance of AI-driven monitoring and optimisation models. Such losses also
trigger reprocessing, waste and suboptimal operational decisions. Therefore, ensuring data continuity and
availability becomes an essential requirement for competitiveness and industrial sustainability. In this context,
the study¿s main contribution is integrating orchestration, alert management and monitoring tools into a closedloop system that triggers self-healing and self-correcting actions when predefined thresholds are exceeded. This
approach avoids systematic network failures, enables autonomous recovery without manual intervention and
keeps system operations and data available. The paper validates the self-healing and self-correcting mechanisms
through overload and saturation experiments. Results demonstrate the feasibility of a zero-touch strategy that
enhances efficiency and sustainability in industrial automation, supporting the transition towards Industry 5.0.
